Data Engineer
Core
Design, develop, and optimize enterprise-scale healthcare data pipelines and analytics platforms to support reporting and data-driven decision-making.
Role type
Senior Data Engineer (Healthcare)
Builds
Scalable data pipelines, ETL/ELT processes, data models, dashboards, and cloud-based analytics solutions.
Domain
Healthcare / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Databricks, Delta Lake, Apache Spark, SQL, Python, Power BI, Tableau, GitHub, CI/CD, Agile, workflow orchestration (Airflow/Databricks Workflows)
Preferred skills
Azure cloud, HL7/FHIR interoperability standards, data quality frameworks, data observability, machine learning
Technologies
Databricks, Delta Lake, Apache Spark, Power BI, Tableau, GitHub, Apache Airflow
Responsibilities
Design and maintain scalable data pipelines; build and optimize ETL/ELT processes; develop efficient data models; create dashboards and visualizations; ensure data quality and governance; support ingestion of clinical, claims, provider, and patient datasets; implement data validation and monitoring; design workflow orchestration solutions; develop CI/CD pipelines; troubleshoot complex data issues.
Seniority
Senior, hands-on IC